I can’t find the initial cloudformation template that is used for creating the sagemaker notebook. Can anyone send me a direct link to the template.
Which guide are you following?
I also tried to do the same by following steps in https://course.fast.ai/start_sagemaker.html
But the template URL for cloud formation is also impossible to read. And I am wondering if anyone has the URL somewhere that we can copy and paste. Or Do you recommend I created it from scratch?
@mariokostelac BTW, the link you provided also indicates we should follow instructions in https://course.fast.ai/start_sagemaker.html instead. I did find a template in
Its readme.md is close to the official doc but still not so sure I should use that since I did see some hardcode ipaddress in that template file. I am wondering who can clarify this.
@gnchen Ah sorry did not see the update. I just remember I set it up like they advised (the old, manual version).
Hmm. I just clicked on the yellow button for the region I wanted. Here is the link for Ireland region. That should open prepopulated form with URL.
Edit: If that does not work, stack url is
Thanks for the tip. I actually though that is just pic
No, it just looks ugly and not clickable (at least on my 4k display). User experience and visual design are not first class concerns for AWS, but their machines do work .
I used the template and launched a notebook but the notebook does not have the fast.ai materials, it’s just a blank environment. Has anyone seen this?
@matthewarthur I had the same issue. the Jupyter notebook was blank.
Did you move to ec2 or colab?
It takes around 10 min to setup the fastai conda environment when you create the SageMaker notebook instance so that is why the folder is blank. It only takes this amount of time on creation as the conda environment is saved between notebook restarts.
You will know when it is ready when the Jupyter kernel name Python 3 is available and a ‘course-v3’ folder appears in your Jupyter Notebook window.
Hi, I’m trying to create the sagemaker stack. Thanks @matt.mcclean, used your template.
Stack Creation Fails.
“The account-level service limit ‘ml.p2.xlarge for notebook instance usage’ is 0 Instances, with current utilization of 0 Instances and a request delta of 1 Instances. Please contact AWS support to request an increase for this limit. (Service: AmazonSageMaker; Status Code: 400; Error Code: ResourceLimitExceeded; Request ID: ec9dcedf-ff0d-4d8b-8ad4-5d930fdc6e67)”